Knowledge Continuous Integration Process (K-CIP)

Hala Skaf-Molli 1 Emmanuel Desmontils 1 Emmanuel Nauer 2 Gérôme Canals 3 Amélie Cordier 4 Marie Lefevre 4 Pascal Molli 5 Yannick Toussaint 2
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
3 SCORE - Services and Cooperation
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
4 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
5 GDD - Gestion de Données Distribuées [Nantes]
LINA - Laboratoire d'Informatique de Nantes Atlantique
Abstract : Social semantic web creates read/write spaces where users and smart agents collaborate to produce knowledge readable by humans and machines. An important issue concerns the ontology evolution and evaluation in man-machine collaboration. How to perform a change on ontologies in a social semantic space that currently uses these ontologies through requests ? In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the WikiTaaable system.
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Hala Skaf-Molli, Emmanuel Desmontils, Emmanuel Nauer, Gérôme Canals, Amélie Cordier, et al.. Knowledge Continuous Integration Process (K-CIP). WWW 2012 - SWCS'12 Workshop - 21st World Wide Web Conference - Semantic Web Collaborative Spaces workshop, Apr 2012, Lyon, France. pp.1075-1082. ⟨hal-00765596⟩

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